How Companion.energy Reduced Query Latency 25x & Compressed Terabytes to Gigabytes with Tiger Cloud
This is an installment of our “Community Member Spotlight” series, in which we invite our customers to share their work, spotlight their success, and inspire other users in the physical world with new ways to use Tiger Data to solve problems.
In this edition,Tristan Vermeesch, Software Engineer atCompanion.energy, shares why his company migrated real-time sensor telemetry from Azure PostgreSQL to Tiger Cloud, unlocking improved query performance, faster ingest, lower storage costs, and a cleaner architecture for future growth.
About the Company & Team
Most energy infrastructure today operates in isolation. A grocery store has solar panels and a battery, but they're not optimized together. An office building has multiple power draw points: HVAC, EV charging stations, lighting, and more. Each one consumes energy independently. A telecom operator managing thousands of antennas pays fixed rates for peak demand even when the grid has cheap power available...
Copyright of this story solely belongs to hackernoon.com. To see the full text click HERE
